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[P] A scalable implementation of "Learning Structural Node Embeddings Via Diffusion Wavelets (KDD 2018)".
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Github: https://github.com/benedekrozemberczki/GraphWaveMachine
GraphWave is a structural node embedding algorithm which learns an embedding based on the characteristic function of graph diffusion wavelets. The procedure places nodes in an abstract feature space where nodes with similar features have similar structural roles in the graph. This specific implementation uses approximations of the wavelets (PyGSP). The original paper:
http://stanford.edu/~hallac/GraphWave.pdf
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